Identifying key characteristics of developed artificial intelligence algorithms to achieve meaningful impact on Canadian healthcare: a scoping review protocol.

Journal: BMJ open
PMID: 39965945

Abstract

INTRODUCTION: Empirical data on the barriers limiting artificial intelligence (AI)'s impact on healthcare are scarce, particularly within the Canadian context. This study aims to address this gap by conducting a scoping review to identify and evaluate AI algorithms developed by researchers affiliated with Canadian institutions for patient triage, diagnosis and care management. The goal is to identify characteristics in the developed AI algorithms that can be leveraged for a better impact.

Authors

  • Daouda Coulibaly
    Laboratoire Transformation Numérique en Santé, Montréal, Québec, Canada.
  • Azadeh Bayani
    Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Bry Sylla
    Université de Bordeaux, Talence, France.
  • Aude Motulsky
    Research Center, Centre hospitalier de l'Université de Montréal, Montreal, Canada.
  • Jean Noël Nikiema
    Department of Management, Evaluation and Health Policy, School of Public Health, Université de Montréal, Québec, Canada.
  • Delphine Bosson-Rieutort
    Centre de recherche en santé publique, Université de Montréal et CIUSSS du Centre-Sud-de-l'Île-de-Montréal, Montreal, Québec, Canada.

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